Note: The job is a remote job and is open to candidates in USA. Vanta is a trust management platform company that helps businesses continuously monitor and prove their security. The Senior Manager, AI Corporate Engineering will lead a senior team and establish the company’s internal AI platform, overseeing AI access, cost engineering, MCP infrastructure, internal application deployment, governance, and enablement.
Responsibilities
- Lead, coach, and grow a senior team spanning platform engineering and technical program management. Set clear direction, hold a high bar, and give the team explicit permission to push back with data
- Own the AI access layer end to end: identity and authentication for AI tools, connector and integration allowlisting, tiered permissions by function, and guardrails that make adoption safe by default rather than safe by exception
- Own AI cost engineering. Build attribution down to team and individual, right-size model selection to actual need, make agent and automation spend traceable, and set budget thresholds and alerting in partnership with Finance
- Own the MCP layer for internal tools end to end, including commissioning, decommissioning, governance, and the downstream impact assessment that has to happen before a migration ships rather than after it breaks
- Own the paved path for internal applications: a golden-path deployment pattern, sensible defaults including private-by-default, lifecycle and decommissioning policy so unused apps retire themselves, and a build-versus-buy framework that keeps people from rebuilding tools we already own
- Build the enablement layer that turns adoption into impact: a skills and agent registry that cuts duplication, an evaluation framework for internal AI usage, and technical enablement on sanctioned tools that goes beyond provisioning access
- Write and hold the charter. Define what Corporate Engineering owns, what it enables, and how work enters the team, then convene the cross-functional forum that keeps departmental AI efforts coordinated rather than duplicated
- Partner across Engineering, GRC, Security, Data, Finance, and People. Several of the levers this role depends on sit in those organizations, so the job is to coordinate and influence rather than override
Skills
- The ability to hold scope. You can take a commitment that was made without scoping or resourcing, land a bounded first version, and decline the rest without it reading as abdication
- Fluency in AI cost engineering: usage attribution, model right-sizing, token economics, agent cost traceability, and the difference between a hard limit and a useful guardrail
- An enablement-first instinct. Your default question is how to make something safe to self-serve. When you do have to decline access, you always explain why and offer an alternative path to the same visibility
- Hands-on technical depth across LLM platform tooling, agent and MCP architecture, identity and OAuth, CI/CD, and infrastructure as code. Enough to review a design honestly and tell the difference between real risk and reported progress
- Comfort building for an audience that is no longer only engineers. A growing share of the people shipping internal tools are not developers, and the platform has to work for them without lowering the security bar
- Data governance fluency in a regulated environment. You know what should never enter a prompt, a repository, or a third-party tool, and you can make that judgment fast without becoming the bottleneck
- Comfort operating through influence. Product AI, security policy, data platform, and budget authority all sit in partner organizations
- Must be authorized to work in the U.S. without the need for current or future employer sponsorship
- Open to using AI to amplify their skills and strengthen their work, demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact
- Experience standing up an internal AI or developer platform function rather than inheriting a mature one. You have written the charter, defined intake, and built the roadmap from a blank page
- 8+ years in platform, infrastructure, or systems engineering, including 3+ years managing and developing engineers, ideally at a company that scaled through a significant headcount inflection
Benefits
- Equity
- Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
- 16 weeks paid Parental Leave for all new parents
- Health & wellness stipend
- Remote workspace, internet, and cellphone stipend
- Commuter benefits for team members who report to the SF and NYC office
- Family planning benefits
- Matching 401(k) contribution with immediate vesting
- Flexible PTO policy, plus 80 hours of Sick Time
- 11 company-paid holidays
- Virtual team building activities, lunch and learns, and other company-wide events!
Company Overview